Wenjiang Huang

The paper introduces a physics-informed hybrid deep learning model for spatiotemporal rice disease prediction, improving accuracy and interpretability using multi-source data.

The paper examines phenological shifts in European vegetation and herbivorous insects over 34 years, finding that 61.2% have become asynchronous, with vegetation advancing faster than insects.